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Analisis Regresi dan Korelasi untuk Proyeksi Produksi Minyak Bumi dan Gas Alam Indonesia menggunakan Bahasa Pemrograman Python Kasliono, Kasliono; Suharmono, Edi; Povi, Povi; Meriani, Risca; Candraningrum, Niken
Jurnal Teknologi Informatika dan Komputer Vol. 9 No. 2 (2023): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v9i2.1756

Penelitian ini memiliki tujuan untuk mengetahui suatu cara pendekatan analisis data menggunakan bahasa pemrograman Python yang dapat diterapkan dalam industri minyak bumi dan gas alam serta memprediksi hasil produksi minyak bumi dan gas alam sampai pada tahun 2030. Penggunaan metode dalam penelitian ini yaitu dengan pendekatan deskriptif kuantitatif. Tujuan digunakannya metode ini yaitu untuk menguraikan secara sistematis peristiwa atau kejadian yang terjadi melalui penggunaan angka-angka dalam menganalisis data penelitian ini. Data tersebut kemudian diolah dengan bahasa pemrograman Python menggunakan library seperti Pandas, NumPy, Matplotlib, dan Scikit-Learn. Dalam penelitian ini data diolah dengan cara analisis regresi dan korelasi. Hasil penelitian yang diperoleh yaitu terjadinya penurunan yang cukup signifikan dari hasil prediksi produksi minyak bumi dan gas alam setiap tahunnya. Hasil prediksi produksi minyak bumi dan gas alam yang paling besar terjadi pada tahun 2022 yang menghasilkan minyak bumi sebesar 210.218,41 (000 barel) dan gas alam sebesar 2.709.176 (MMscf). Sedangkan hasil prediksi produksi minyak bumi dan gas alam pada tahun 2030 yaitu sebesar 116.827,69 (000 barel) dan 2.597.292 (MMscf). Minyak bumi dan gas alam dalam penelitian ini mempunyai keterkaitan yang lemah dengan nilai korelasi positif. Nilai korelasi sebesar 0.387558 menunjukkan bahwa adanya kecenderungan ketika produksi minyak bumi meningkat, produksi gas alam juga cenderung meningkat,Â begitupunÂ sebaliknya.

One-Time Pad Cryptography for Secure Data Transmission in IoT Smart Door Using QR Code Asrofa, Muhammad Dito; Bahri, Syamsul; Kasliono, Kasliono
Jurnal Media Informasi Teknologi Vol. 2 No. 2 (2025): Oktober 2025
Publisher : Digital Innovation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69616/mit.v2i2.248

The increasing use of the Internet of Things (IoT) in security systems such as Smart Doors has created new challenges for data security, especially the risk of wiretapping through sniffing attacks. This research proposes applying the One-Time Pad (OTP) XOR algorithm as an encryption method to protect QR Code-based data transmission in the Smart Door system. The implementation is carried out on three main communication paths: sending UUID from the server to the user's website, sending the results of QR Code scanning from ESP32-CAM to the server, and sending instructions from the server to the ESP32 device. The test results show that the resulting ciphertext is always different even though the plaintext is the same, with a 0% algorithm identification success rate by Cipher Identifier and a 100% resistance level to brute force XOR, based on testing using dCode.fr tools. In addition, the encryption and decryption processes are very fast, with an average encryption time on the ESP32-CAM of 0.34 milliseconds and an average decryption time on the ESP32 of 0.17 milliseconds. These results show that the OTP XOR algorithm is able to disguise data against basic cryptanalysis attacks and can be run on IoT devices that have limited resources. In the future, it is suggested to apply better key management methods such as pre-shared key (PSK), key rotation, or key derivation function (KDF) to improve the security of key distribution in this symmetrical system. In addition, the security system can be improved through separating the OTP key transmission path using an approach such as Out-of-Band Key Exchange or asymmetric key wrapping with the RSA algorithm so that the key remains protected even if sniffing occurs.

Klasifikasi Kecanduan Bermain Game online Pada Remaja Menggunakan Metode Naïve Bayes Classifier Berbasis Website Suci Pania, Tika; Hidayati, Rahmi; Kasliono, Kasliono
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 5 (2024): April 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i5.1782

The use of electronic devices such as cellphones, laptops, and others is often found for various reasons, including playing online games. Online games are very popular because they can relieve stress and can be played by various ages, one of which is teenagers aged 10-19 years. However, online games can be detrimental to teenagers. If a teenager plays online games for a long time, that teenager will become dependent on online games. This research creates a system that can help teenagers find out their level of addiction to online games, so that teenagers can overcome their addiction problems. This system classifies addiction to playing online games in teenagers with mild, moderate and severe levels using the Naïve Bayes Classifier method. This system can help teenagers control themselves when playing online games. In determining the level of online game addiction, 5 attributes are used, namely age, gender, place of play, type of game, and length of play. Testing with 150 data and tested with nine comparisons of training data and test data, namely 10:90, 20:80, 30:70, 40:60, 50:50, 60:40, 70:30, 80:20, and 90: 10. Testing is carried out using a confusion matrix to produce accuracy, precision, recall and error rate values. The highest accuracy value is found in comparing training data and test data of 40:60. Accuracy results were 93%, precision was 90%, recall was 89%, and error rate was 6.67%.

Penerapan Model Waterfall dalam Pengembangan Perangkat Lunak Pemantauan Tanaman Anggur Berbasis Mobile Menggunakan IoT Kasliono, Kasliono; Ruslianto, Ikhwan; Erniajan, Yunita
Journal of Computer System and Informatics (JoSYC) Vol 5 No 3 (2024): May 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v5i3.5099

Unfavorable tropical climatic conditions as well as the status of grapes as not a national priority commodity, have led to high production costs and low productivity in grape cultivation in the pontianak area. So this research has The purpose to conceptualize and develop an IoT-based Android application that allows observation of grape plants in the Greenhouse. Thus, it is hoped that this application can provide solutions for farmers in monitoring plant conditions in real-time, increasing productivity, and improving the quality of grape crops in the area. In previous research, The app is technically less user-friendly, not suitable for the average users, especially farmers. Key components include an Android app, a data processing system, and sensors measuring values like air temperature, humidity, and soil moisture.. The data processing system receives data from sensors and sends it to the Android app via the internet network.. The Android app allows users to view Greenhouse environmental statistics. The research was carried out in stages, beginning with hardware and software ideation and ending with real-world testing of the application. According to the research, the system's implementation is functional, nodes can send data and be displayed on mobile applications, and tests were conducted using the black box testing method, which yielded a "successful" statement on eight tests performed on the Android mobile application.

Analisis Regresi dan Korelasi untuk Proyeksi Produksi Minyak Bumi dan Gas Alam Indonesia menggunakan Bahasa Pemrograman Python Kasliono, Kasliono; Suharmono, Edi; Povi, Povi; Meriani, Risca; Candraningrum, Niken
Jurnal Teknologi Informatika dan Komputer Vol. 9 No. 2 (2023): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v9i2.1756

Penelitian ini memiliki tujuan untuk mengetahui suatu cara pendekatan analisis data menggunakan bahasa pemrograman Python yang dapat diterapkan dalam industri minyak bumi dan gas alam serta memprediksi hasil produksi minyak bumi dan gas alam sampai pada tahun 2030. Penggunaan metode dalam penelitian ini yaitu dengan pendekatan deskriptif kuantitatif. Tujuan digunakannya metode ini yaitu untuk menguraikan secara sistematis peristiwa atau kejadian yang terjadi melalui penggunaan angka-angka dalam menganalisis data penelitian ini. Data tersebut kemudian diolah dengan bahasa pemrograman Python menggunakan library seperti Pandas, NumPy, Matplotlib, dan Scikit-Learn. Dalam penelitian ini data diolah dengan cara analisis regresi dan korelasi. Hasil penelitian yang diperoleh yaitu terjadinya penurunan yang cukup signifikan dari hasil prediksi produksi minyak bumi dan gas alam setiap tahunnya. Hasil prediksi produksi minyak bumi dan gas alam yang paling besar terjadi pada tahun 2022 yang menghasilkan minyak bumi sebesar 210.218,41 (000 barel) dan gas alam sebesar 2.709.176 (MMscf). Sedangkan hasil prediksi produksi minyak bumi dan gas alam pada tahun 2030 yaitu sebesar 116.827,69 (000 barel) dan 2.597.292 (MMscf). Minyak bumi dan gas alam dalam penelitian ini mempunyai keterkaitan yang lemah dengan nilai korelasi positif. Nilai korelasi sebesar 0.387558 menunjukkan bahwa adanya kecenderungan ketika produksi minyak bumi meningkat, produksi gas alam juga cenderung meningkat,Â begitupunÂ sebaliknya.

Implementasi Metode K-Medoids Dalam Pengelompokan Kepuasan Masyarakat Terhadap Pelayanan Rumah Sakit Handayani, Tri; Bahri, Syamsul; Kasliono, Kasliono
Journal of Information System Research (JOSH) Vol 5 No 4 (2024): Juli 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i4.5331

Service is an effort made to meet customer's direct needs with the aim of helping their needs. One of the institutions that provides services in the health sector is a hospital. The public satisfaction survey aims to assess the level of public satisfaction with service quality to improve it. Assessment of public satisfaction with service quality can vary. With these diverse survey results, a system is needed that supports grouping public satisfaction with services. In this research, the K-Medoids method is used to classify public satisfaction with services. The variables used for grouping consist of service requirements, service procedure systems and mechanisms, service time, costs/tariffs, product specifications, types of service, competence of implementers, behavior of implementers, quality of facilities and infrastructure, and complaint handling. This research resulted in different categories, such as very good, good, poor and not good. The criteria for measuring the results of K-Medoids using the Silhouette Coefficient from the results of 26 experimental data obtained the best evaluation results with a value range of 0.9 – 1.00 which is included in the criteria for a strong structure with total cluster of 4. The results of 400 data that have been implemented into the web-based system on the 26 experimental data described above, from the results of each cluster for each iteration it can be concluded that the community's satisfaction with the services at RSUD Dr. Soedarso Pontianak, from the sum of the results of 9.365 cluster members from all iterations, is in cluster 4 with the very good category.

Perbandingan QoS Protokol HTTP Dan MQTT Dalam Merespon Sistem Pendeteksi Kebakaran Menggunakan Notifikasi Bot Telegram Qomarullah, Yusdi; Ristian, Uray; Kasliono, Kasliono
Coding: Jurnal Komputer dan Aplikasi Vol 13, No 3 (2025): Edisi Desember 2025
Publisher : Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/coding.v13i3.92130

Kebakaran merupakan bencana yang berpotensi menimbulkan kerugian besar, mulai dari hilangnya harta berharga hingga korban jiwa. Daerah perkotaan yang padat penduduk lebih rentan terhadap kebakaran. Sistem Deteksi Dini dan Pemadaman Kebakaran Otomatis di Rumah Berbasis IoT menggunakan NodeMCU ESP32 dapat membaca kondisi lingukan dari sensor api, gas, dan suhu, serta mengirimkan pesan peringatan berupa push notification ke ponsel pengguna. Sistem ini membantu penghuni rumah yang berada di luar jangkauan agar selalu waspada terhadap kemungkinan kebakaran.Penelitian ini membandingkan performa protokol HTTP dan MQTT dalam sistem pendeteksi kebakaran berbasis Internet of Things (IoT) yang menggunakan notifikasi bot Telegram. Data dari sensor dikirim melalui protokol HTTP dan MQTT untuk ditampilkan di dashboard website dan diteruskan ke pengguna melalui notifikasi Telegram. Hasil pengujian menunjukkan bahwa protokol HTTP memiliki rata-rata latensi 14,7 detik dengan latensi terendah 13,9 detik. Sebaliknya, protokol MQTT mencatat rata-rata latensi 0,5 detik dengan latensi terendah 0,1 detik. HTTP lebih stabil untuk pengiriman data, sedangkan MQTT unggul dalam efisiensi waktu pengiriman. Penelitian ini menunjukkan kedua protokol memiliki kelebihan dan kelemahan yang dapat disesuaikan dengan kebutuhan aplikasi IoT. Kata kunci— IoT, HTTP, MQTT, Website, Notifikasi Telegram, Latensi

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